Table 6 Vegetation indices used in the estimation models.

From: Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content

Vegetation index#

Acronym

Formula

Canopy Chlorophyll Absorption Ratio Index

CCCI

\(\frac{((NIR8A-RE1)/(NIR8A+RE1))}{((NIR-RED)/(NIR+RED))}\)

Chlorophyll Index Green

CIgreen

\((NIR/GREEN)-1\)

Chlorophyll Index Red Edge

CIredge

\((NIR8A/RE1)-1\)

Enhanced Vegetation Index

EVI

\(2.5 \times \frac{(NIR-RED)}{\left(NIR+6\times RED+7.5\times BLUE\right)+1}\)

Normalized Green Difference Vegetation Index

GDVI

\(\frac{(NIR-GREEN)}{(NIR+GREEN)}\)

Green Leaf Index

GLI

\(\frac{(2\times GREEN-RED-BLUE )}{(2\times GREEN+RED+BLUE )}\)

Leaf Chlorophyll Index

LChloI

\(\frac{(NIR-RE1)}{(NIR+RED)}\)

Normalized Burn Rate

NBR

\(\frac{(NIR-SWIR2)}{(NIR+SWIR2)}\)

Normalized Difference Vegetation Index

NDVI

\(\frac{(NIR-RED)}{(NIR+RED)}\)

NDVI 8A

NDVI8A

\(\frac{(NIR8A-RED)}{(NIR8A+RED)}\)

Optimized Soil Adjusted Vegetation Index

OSAVI

\((1+0.16) \times \frac{(NIR-RED)}{\left(NIR+RED+0.16\right)}\)

Simple Ratio

SR

\(\frac{NIR}{RED}\)

Simple Ratio Red Edge

SRredge

\(\frac{NIR8A}{RE1}\)

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